Book Image

AWS Certified Cloud Practitioner Exam Guide

By : Rajesh Daswani
3 (1)
Book Image

AWS Certified Cloud Practitioner Exam Guide

3 (1)
By: Rajesh Daswani

Overview of this book

Amazon Web Services is the largest cloud computing service provider in the world. Its foundational certification, AWS Certified Cloud Practitioner (CLF-C01), is the first step to fast-tracking your career in cloud computing. This certification will add value even to those in non-IT roles, including professionals from sales, legal, and finance who may be working with cloud computing or AWS projects. If you are a seasoned IT professional, this certification will make it easier for you to prepare for more technical certifications to progress up the AWS ladder and improve your career prospects. The book is divided into four parts. The first part focuses on the fundamentals of cloud computing and the AWS global infrastructure. The second part examines key AWS technology services, including compute, network, storage, and database services. The third part covers AWS security, the shared responsibility model, and several security tools. In the final part, you'll study the fundamentals of cloud economics and AWS pricing models and billing practices. Complete with exercises that highlight best practices for designing solutions, detailed use cases for each of the AWS services, quizzes, and two complete practice tests, this CLF-C01 exam study guide will help you gain the knowledge and hands-on experience necessary to ace the AWS Certified Cloud Practitioner exam.
Table of Contents (23 chapters)
1
Section 1: Cloud Concepts
5
Section 2: AWS Technologies
16
Section 3: AWS Security
18
Section 4: Billing and Pricing
20
Chapter 16: Mock Tests

Chapter 11: Analytics on AWS

In this age of information, understanding your data has become extremely important. With current cutting-edge technologies, extensive amounts of data are generated every second – data that needs to be stored and analyzed. Companies perform data analytics to explain, predict, and ultimately gain a competitive advantage in business. Traditional analytics would include retail analytics, supply chain analytics, or stock rotation analytics. With machine learning (ML) and artificial intelligence taking a firm hold on the economy, new evolutions of analytics have come into play, such as cognitive analytics, fraud analytics, and speech analytics. The list is almost endless but suffice it to say that understanding your raw data has required considerable effort and a whole business unit dedicated to data analytics alone.

AWS offers a vast array of analytics tools that you can use to ingest, store, and effectively understand the data that's generated...